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Friction signal to visual session investigation

Most session investigations start with the event transcript: a chronological list of clicks, errors, and navigations. That answers what happened but not what did the user see? or what changed on the page? This workflow chains a friction signal into a visual investigation using the agentic session review tools, which let the MCP render the actual replay frame at a given moment and describe the visual state of the page.

Turn 1: Surface the friction

Fullstory MCP
What are the top frustration signals across our site in the last 7 days? Rank by user count and tell me where each one hits.
Fullstory MCP
AI Response

Top frustrations (last 7 days):

  1. "Apply Promo Code" rage clicks — 412 users, /checkout
  2. Dead clicks on header cart icon — 287 users, /products
  3. /signup password field abandonment — 218 users
  4. 504 timeouts on /api/orders during peak hours — 156 users

Turn 2: Pick one, get session evidence

Fullstory MCP
Pull 3 sessions where users rage-clicked the "Apply Promo Code" button. What were they trying to do?
Fullstory MCP
AI Response

3 sessions reviewed:

Session A (2m 48s): User entered code SPRING20 in the promo field, clicked Apply. Toast appeared. Total did not change. User clicked Apply 6 more times, then closed the tab.

Session B (4m 22s): User pasted a code from email, clicked Apply, then opened DevTools to check the network response, then closed the tab.

Session C (1m 14s): User entered code WELCOME10, clicked Apply once, waited, clicked Apply 4 more times, then opened a chat support widget.

Turn 3: Open the worst session and walk through it visually

Fullstory MCP
Open session A and walk me through what the user saw at the moments of frustration. I want to know what was on screen.
Fullstory MCP
AI Response

Opened session A. Walking through the key moments:

00:34 — User arrives at /checkout via the cart page. Order summary shows: 2 items, subtotal $84.00, total $84.00. Promo field is visible and empty.

01:12 — User types "SPRING20" into the promo field.

01:19 — User clicks "Apply". A small green toast appears in the upper-right reading "Promo applied". The cart total still reads $84.00. No visual change in the order summary.

01:23 — User scrolls down to confirm the total didn't change. Subtotal $84.00. Total $84.00.

01:28 — User clicks "Apply" a second time. Same toast appears. Same total.

01:31 to 01:54 — User clicks Apply 4 more times in rapid succession. The toast appears each time. The total never changes.

02:08 — User scrolls up, looks at the toast position, then closes the tab.

Turn 4: Diff two moments to find what changed

Fullstory MCP
Diff the visible page between 01:12 (just before the user clicked Apply) and 01:23 (after the toast appeared). What's different?
Fullstory MCP
AI Response

Diff between 01:12 and 01:23:

Added between those moments:

  • A green toast in the upper-right reading "Promo applied"
  • A small gray line below the subtotal reading "Discount: $0.00"
  • The promo input field is now disabled

Unchanged:

  • Subtotal value: $84.00
  • Total value: $84.00
  • All item line prices

The "Discount: $0.00" line is the giveaway. The promo system is recognizing the code, attempting to apply it, and returning a zero discount — but the toast still reads as if it succeeded. The "$0.00" discount line is small, gray, and visually easy to miss.

What you walk out with

A signal (412 users rage-clicking promo apply), a session example, a clear visual diagnosis of the failure mode, and a specific, testable fix: either the promo code is being silently rejected (a backend bug) or the toast is reporting success on a zero-value discount (a UX bug). A transcript alone would have shown the clicks but not the toast, the position, or the hidden $0.00 line.

Behind the scenes

The MCP routes this workflow through: get_opportunities, get_sessions_for_opportunity, session_open, session_view, session_diff, and session_close. The last three are the agentic session review tools that distinguish this workflow from transcript-only investigation.